====== Lee Lab Journal Club ======

===== When and Where =====

| Location | Engineering, Levine 512 |
| Date | Every Wednesday at 6:30pm | 

===== Meetings =====

| **Date** | **Topic** | **Speaker** | **To Read** |
| Jan 15,  2014 | Fast Algs. for Gaussian Noise Invariant ICA | Jimmy Wang | [[http://papers.nips.cc/paper/5134-fast-algorithms-for-gaussian-noise-invariant-independent-component-analysis?|Paper]] |
| Jan 22,  2014 | Generative Local Metric Learning for Nearest Neighbor Classification | Yung-Kyun Noh | [[https://www.dropbox.com/s/g0m2c65n6504oh8/nips2010_GLML_CameraReady_revised.pdf|Paper]] |
| Feb 5,  2014 | Sensory Adaptation within a Bayesian Framework for Perception | Mohammad Rostami | [[http://www.sas.upenn.edu/~astocker/lab/publications-files/conferences/NIPS2005/Stocker_Simoncelli2006b.pdf|Paper]] |
| Feb 19,  2014 | TBA | TBA | TBA |
| Feb 26,  2014 | TBA | TBA | TBA |

===== Past Meetings =====

| **Date** | **Topic** | **Speaker** | **To Read** |
| Sept 18, 2013 | Introduction to Bayesian Statistics | Pedro Ortega | [[http://www.inference.phy.cam.ac.uk/itila/|Chp. 3 & 21]] |
| Sept 25, 2013 | Gaussian Processes | Stephen McGill | [[http://www.gaussianprocess.org/gpml/chapters/|Chp. 2 & 5]] |
| Oct 2, 2013 | Particle Filters | Alex Burka, Karen Quin He | [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4266870|Paper]] |
| Oct 9, 2013 | Information Theory | Jimmy Wang | Chp. 2 of Cover & Thomas |
| Oct 16, 2013 | Monte Carlo Methods | Bhoram Lee | [[http://www.inference.phy.cam.ac.uk/itila/|Chp. 29]] |
| Oct 23, 2013 | Multi-Armed Bandits | Chris Clingerman | [[http://www.princeton.edu/~sbubeck/SurveyBCB12.pdf|Chp. 1 & 2]] |
| Oct 30, 2013 | Efficient Neural Coding | Dr. Lee |  |
| Nov 6, 2013 | Biped Walking Pattern Generation | Seung-Joon Yi | [[http://tinyurl.com/ky6ly6d|Paper]] |
| Nov 13, 2013 | Damage Recovery in Robotics | Alex Burka | [[http://www.sciencemag.org/content/314/5802/1118|Paper 1]] & [[http://arxiv.org/abs/1302.0386|Paper 2]] |
| Nov 20, 2013 | Causality in Control | Pedro Ortega | [[http://ftp.cs.ucla.edu/pub/stat_ser/r337-jsm07.pdf|Paper]] {{:causality.pdf|Slides}} |

===== Potential Topics =====

  * Variational Bayes
  * Policy Gradient Methods
  * POMDPs
  * Message-Passing Algorithms
  * Generative Bayesian Methods
  * Manifold Learning